| Sparse modeling using orthogonal forward regression with PRESS statistic and regularization S Chen, X Hong, CJ Harris, PM Sharkey IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 318 | 2004 |
| Model selection approaches for non-linear system identification: a review X Hong, RJ Mitchell, S Chen, CJ Harris, K Li, GW Irwin International journal of systems science 39 (10), 925-946, 2008 | 291 | 2008 |
| Adaptive modelling, estimation and fusion from data: a neurofuzzy approach C Harris, X Hong, Q Gan Springer Science & Business Media, 2002 | 266 | 2002 |
| A kernel-based two-class classifier for imbalanced data sets X Hong, S Chen, CJ Harris IEEE Transactions on neural networks 18 (1), 28-41, 2007 | 221 | 2007 |
| A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems M Gao, X Hong, S Chen, CJ Harris Neurocomputing 74 (17), 3456-3466, 2011 | 174 | 2011 |
| Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design S Chen, X Hong, CJ Harris IEEE Transactions on Automatic Control 48 (6), 1029-1036, 2003 | 148 | 2003 |
| Non-linear system identification using particle swarm optimisation tuned radial basis function models S Chen, X Hong, BL Luk, CJ Harris International Journal of Bio-Inspired Computation 1 (4), 246-258, 2009 | 100 | 2009 |
| Automatic nonlinear predictive model-construction algorithm using forward regression and the PRESS statistic X Hong, PM Sharkey, K Warwick IEE Proceedings-Control Theory and Applications 150 (3), 245-254, 2003 | 97 | 2003 |
| A line of sight counteraction navigation algorithm for ship encounter collision avoidance PA Wilson, CJ Harris, X Hong The Journal of Navigation 56 (1), 111-121, 2003 | 92 | 2003 |
| Particle swarm optimization aided orthogonal forward regression for unified data modeling S Chen, X Hong, CJ Harris IEEE Transactions on Evolutionary Computation 14 (4), 477-499, 2010 | 87 | 2010 |
| Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization S Chen, X Hong, CJ Harris IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004 | 85 | 2004 |
| Heterogeneous tensor decomposition for clustering via manifold optimization Y Sun, J Gao, X Hong, B Mishra, B Yin IEEE transactions on pattern analysis and machine intelligence 38 (3), 476-489, 2015 | 78 | 2015 |
| An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring J Zhang, H Chen, S Chen, X Hong IEEE transactions on cybernetics 49 (1), 198-210, 2017 | 77 | 2017 |
| Online modeling with tunable RBF network H Chen, Y Gong, X Hong IEEE transactions on cybernetics 43 (3), 935-947, 2013 | 76 | 2013 |
| Nonlinear model structure design and construction using orthogonal least squares and D-optimality design X Hong, CJ Harris IEEE Transactions on Neural Networks 13 (5), 1245-1250, 2002 | 76 | 2002 |
| Tensor LRR and sparse coding-based subspace clustering Y Fu, J Gao, D Tien, Z Lin, X Hong IEEE transactions on neural networks and learning systems 27 (10), 2120-2133, 2016 | 70 | 2016 |
| PDFOS: PDF estimation based over-sampling for imbalanced two-class problems M Gao, X Hong, S Chen, CJ Harris, E Khalaf Neurocomputing 138, 248-259, 2014 | 70 | 2014 |
| Construction of tunable radial basis function networks using orthogonal forward selection S Chen, X Hong, BL Luk, CJ Harris IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008 | 70 | 2008 |
| Dual-orthogonal radial basis function networks for nonlinear time series prediction SA Billings, X Hong Neural Networks 11 (3), 479-493, 1998 | 67 | 1998 |
| An orthogonal forward regression technique for sparse kernel density estimation S Chen, X Hong, CJ Harris Neurocomputing 71 (4-6), 931-943, 2008 | 63 | 2008 |
C J HarrisEm. Professor of Computational Intelligence , Southampton UniversityOverená e-mailová adresa na: ecs.soton.ac.uk
